code: def forward(self, x):
      moe_output, balancing_loss = self.moe(x)
      return self.linear(moe_output), balancing_loss
  
file_path: hivemind/tests/test_training.py
imports: from functools import partial
  import pytest
  import torch
  import torch.nn
  import torch.nn.functional
  from sklearn.datasets import load_digits
  from hivemind import DHT
  from hivemind.moe.client import RemoteMixtureOfExperts, RemoteSwitchMixtureOfExperts
  from hivemind.moe.client.expert import create_remote_experts
  from hivemind.moe.expert_uid import ExpertInfo
  from hivemind.moe.server import background_server
label_desc: Use image node_id 2 for calling the SwitchNetwork obj's underlying member method code with example usage: obj.forward(x) and returns: self,  balancing_loss